CakeResume Job Search

我們正在尋找有才華的工程師加入我們的SRE團隊。主要任務是開發、維護及持續優化運行良好的服務和基礎設施，以供我們的用戶使用。使用合適的工具或者編程語言，例如 Ansible、Terraform、Helm、Prometheus、Golang 等。所構建

1. 協助內部系統發佈、部署、調優、監控、日誌等系統和流程建設 2. 串接系統議題(例如需求單、問題單)管理平台，整合版控庫以管理軟體版本 3. 撰寫自動化腳本部署，更新服務的測試環境及正

1.具基本script撰寫技術 : shell 、Python或Ruby等。 2.熟悉 Linux 維運 & 操作 (以 CentOS & Ubuntu 為主) 3.熟悉常見WEB相關服務協定DNS、CDN、Load Balancer、Nginx等。 4.熟練使用自動化配置管理工具，如Ansible、Puppet、Chef 等。 5.瞭解常見的監控和日誌

1. 設計與施行自動化工具，確保產品交付(程式碼佈署)機制能完備且有效。 2. 管理和維運 Scalable & High available Cloud Service。 3. 與開發團隊共同架構 CI/CD 。 4. 研究並開發支援工具或系統。 5. Linux 系統架設管理

端，若您希望有一個充滿挑戰還可以擁有一個完整生活規劃的職務，歡迎找我們聊聊，允辰資訊期待您的加入！ 在這邊會運用到的DevOps相關技術 Kubernetes、RedHat Openshift CI/CD Pipeline規劃與建置 Jenkins、GitLab CI Infrastructure as code (IaC) Docker、Podman、Buildah

1.理解業務需求，設計規劃Server架構 2.根據規格書進⾏相關程是開發 3.業務相關交易系統開發及維運 4.依照現⾏⼯作流程進⾏部署 5.按照使⽤者回饋對現⾏系統進⾏維護

We are looking for a developer with hands-on experience in Python programming to join a team of superb engineers in laying the ground for pioneering Smart TVs and devices. Based in Taiwan, you will be part of the mission of building up the cutting-edge software environments with teammates and stakeholders from all over the world. Responsibilities (1) Verify new software/firmware release on the latest test suite with specific devices. (2) Work closely with

We are seeking an experienced support engineer capable of independent problem solving capabilities. A support engineer who possesses an understanding of Blockchain technology like web3 and apps use cases. The candidate will work closely with Technical Team and Customer Service Supports, internal and external Engineering teams for the products he/she will be engaged in. Your work will ensure the Customer Service team meets all its commitments and has the knowledge and capabilities to deliver best

1.反洗錢系統(AML)維運工作 2.Red Hat平台管理 3.JAVA程式開發、系統分析

Research and evaluate different AI and Deep learning approaches to determine the most effective solutions for given problems Design AI and LLM system pipelines, leveraging libraries like PyTorch, SD, and LangChain (et al.) Build, train, evaluate, and optimize AI models using techniques like deep learning, reinforcement learning, computer vision, NLP, etc. Work closely with data engineers and analysts to implement models in production environments. Monitor and maintain AI systems in production, e